Institut for Ecoscience

Aarhus Universitets segl

Publikationer

Sortér efter: Dato | Forfatter | Titel

Høye, T. T., Dyrmann, M., Kjær, C., Nielsen, J., Bruus, M., Mielec, C. L., Vesterdal, M. S., Bjerge, K., Madsen, S. A., Jeppesen, M. R. & Melvad, C. (2022). Accurate image-based identification of macroinvertebrate specimens using deep learning — How much training data is needed? PeerJ, 10, Artikel e13837. https://doi.org/10.7717/peerj.13837
Breda, D., Frizzera, D., Giordano, G., Seffin, E., Zanni, V., Annoscia, D., Topping, C. J., Blanchini, F. & Nazzi, F. (2022). A deeper understanding of system interactions can explain contradictory field results on pesticide impact on honey bees. Nature Communications, 13(1), Artikel 5720. https://doi.org/10.1038/s41467-022-33405-7
Heike Johansen, P., Præstholm, S., Olsen, J. V., Schou, J. S., Kronvang, B. & Ejrnæs, R. (2022). Afsluttende rapport: Fire pilotprojekter for multifunktionel jordfordeling 2015-2022. Syddansk Universitet. https://doi.org/10.21996/TBWT-BH32
Rysgaard, S., Bjerge, K., Boone, W., Frandsen, E., Graversen, M., Thomas Høye, T., Jensen, B., Johnen, G., Antoni Jackowicz-Korczynski, M., Taylor Kerby, J., Kortegaard, S., Mastepanov, M., Melvad, C., Schmidt Mikkelsen, P., Mortensen, K., Nørgaard, C., Poulsen, E., Riis, T., Sørensen, L. & Røjle Christensen, T. (2022). A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas. HardwareX, 12, Artikel e00331. https://doi.org/10.1016/j.ohx.2022.e00331
Mann, H. M. R., Iosifidis, A., Jepsen, J. U., Welker, J. M., Loonen, M. J. J. E. & Høye, T. T. (2022). Automatic flower detection and phenology monitoring using time-lapse cameras and deep learning. Remote Sensing in Ecology and Conservation, 8(6), 765-777. https://doi.org/10.1002/rse2.275
Mann, H. M. R. (2022). Automatic monitoring of plant-pollinator interactions with computer vision and deep learning. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.
Dupont, Y. L. (2022). Bier. (1 udg.) Aarhus Universitetsforlag. Tænkepauser - viden til hverdagen Bind 99
Kryger, P. & Dupont, Y. L. (2022). Can we predict winter survival problems based on varroa counts?. Abstract fra Nordic-Baltic Bee Council and Nordic-Baltic Apicultural Research Symposium, København, Danmark.
Odgaard, M. V., Nygaard, B. & Dalgaard, T., (2022). CAP2020+: Faglig vurdering af aktivitetskrav til græsarealer omfattet af et direktivimplementerende vand-, natur-, miljø- eller skovprojekt., Nr. 2022-0339136, 23 s., aug. 29, 2022.
Lindén, E., te Beest, M., Aubreu, I., Moritz, T., Sundqvist, M. K., Barrio, I. C., Boike, J., Bryant, J. P., Bråthen, K. A., Buchwal, A., Bueno, C. G., Currier, A., Egelkraut, D. D., Forbes, B. C., Hallinger, M., Heijmans, M., Hermanutz, L., Hik, D. S., Hofgaard, A. ... Olofsson, J. (2022). Circum-Arctic distribution of chemical anti-herbivore compounds suggests biome-wide trade-off in defence strategies in Arctic shrubs. Ecography, 2002(11), Artikel e06166. https://doi.org/10.1111/ecog.06166

Viser resultater 171 til 180 ud af 3056

Forrige

14

15

16

17

18

19

20

21

22

23

Næste

Revideret 03.09.2024
-
Else Vihlborg Staalsen